Andrew Michael Duffy

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OBJECTIVE To determine neonatal outcomes (perinatal mortality and special care unit admission) and maternal outcomes (mode of delivery, delivery complications) of elective induction of labour compared with expectant management. DESIGN Retrospective cohort study using an unselected population database. SETTING Consultant and midwife led obstetric units(More)
Endoscopic retrograde cholangiography (ERCP) is a challenging procedure with considerable risk. Computerized simulators are valuable in training for flexible endoscopy, but little data exist for their use in ERCP training. To determine a simulator’s ability to assess the level of ERCP skill and its responsiveness over time to increasing trainee experience.(More)
BACKGROUND There is evidence that induction of labour (IOL) around term reduces perinatal mortality and caesarean delivery rates when compared to expectant management of pregnancy (allowing the pregnancy to continue to await spontaneous labour or definitive indication for delivery). However, it is not clear whether IOL in women with a previous caesarean(More)
The task of machine comprehension has long been one of the greatest unsolved tasks in natural language processing. Thanks to a proliferation of datasets, numerous deep neural architectures have been created. We implemented two such architectures: the Match-LSTM with Answer Pointer[1] and a flavor of Dynamic Coattention Networks[2]. Our end-to-end models are(More)
Objective To determine neonatal outcomes (perinatal mortality and special care unit admission) and maternal outcomes (mode of delivery, delivery complications) of elective induction of labour compared with expectant management. Design Retrospective cohort study using an unselected population database. SettingConsultant andmidwife led obstetric units in(More)
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